作者
George Hripcsak, Patrick B Ryan, Jon D Duke, Nigam H Shah, Rae Woong Park, Vojtech Huser, Marc A Suchard, Martijn J Schuemie, Frank J DeFalco, Adler Perotte, Juan M Banda, Christian G Reich, Lisa M Schilling, Michael E Matheny, Daniella Meeker, Nicole Pratt, David Madigan
发表日期
2016/7/5
期刊
Proceedings of the National Academy of Sciences
卷号
113
期号
27
页码范围
7329-7336
出版商
National Academy of Sciences
简介
Observational research promises to complement experimental research by providing large, diverse populations that would be infeasible for an experiment. Observational research can test its own clinical hypotheses, and observational studies also can contribute to the design of experiments and inform the generalizability of experimental research. Understanding the diversity of populations and the variance in care is one component. In this study, the Observational Health Data Sciences and Informatics (OHDSI) collaboration created an international data network with 11 data sources from four countries, including electronic health records and administrative claims data on 250 million patients. All data were mapped to common data standards, patient privacy was maintained by using a distributed model, and results were aggregated centrally. Treatment pathways were elucidated for type 2 diabetes mellitus …
引用总数
201620172018201920202021202220232024152636366164493728
学术搜索中的文章
G Hripcsak, PB Ryan, JD Duke, NH Shah, RW Park… - Proceedings of the National Academy of Sciences, 2016